Arnau Cordomí

This course presents the main methods for sequence analysis in bioinformatics, including Viterbi, Baum–Welch, posterior decoding, SCFG applied to RNA folding, gene prediction algorithms, Infernal (INFERence of RNA ALignment software), secondary structure prediction algorithms in proteins and algorithms, domain profiles and HMM algorithms and methods for gene prediction, among others.

This course covers fundamental concepts and subjects in biochemistry, from the basic molecules of life to molecular cell biology and genetics. The course covers the structure and function of DNA, RNA, proteins and cellular components, metabolism and its regulations, and on chemical reactions in the cell. 

Subject of the 2020-2021 teaching plan.

General aspects of how the University works. Characteristics of the degrees on offer. Study strategies, learning techniques and finding information. Current state of the art, areas of knowledge and challenges in the professional and productive field of bioinformatics. Basic and applied fields of research relevant to the context of bioinformatics and biomedicine. Intuitive introduction to various concepts, phenomena, principles and methods studied in bioinformatics to give students an idea of real-life problems and help them interpret biological phenomena and formulate them mathematically, as well as helping to confirm/reinforce students’ interest in bioinformatics and biomedical research.

This course covers fundamental concepts in physics and organic chemistry, including chemical thermodynamics, acid-base chemistry and cheminformatics. Subjects include molecular structure and stereochemistry, reaction mechanisms and chemical equilibrium, as well as basic organic compounds.